Towards an Algebraic Framework for Querying Inductive Databases

Abstract. In this paper, we present a theoretical foundation for querying inductive databases, which can accommodate disparate mining tasks. We present a data mining algebra including some essential operations for manipulating data and patterns and illustrate the use of a fix-point operator in a logic-based mining language. We show that the mining algebra has equivalent expressive power as the logic-based paradigm with a fixpoint operator.

• Type: Conference
• Year: 2010
• Where: DASFAA
• Authors: Hong-Cheu Liu, Aditya Ghose, John Zeleznikow
• Keywords: DASFAA 2010, Data Mining Algebra, Database, Disparate Mining Tasks, Mining Algebra